A Novel Approach to Teaching Theory Control: Integrating STEM Education, Mobile Robot Simulation, and Bio-inspired Optimization
摘要
In the context of engineering education, imparting control theory poses a significant challenge, especially for students lacking prior knowledge in the domain. This paper addresses this issue by introducing a novel approach for teaching control theory using STEM (Science, Technology, Engineering, and Mathematics) education, mobile robot simulator, and bio-inspired optimization. The paper identifies the lack of prior knowledge in control theory as a barrier to effective instruction and proposes a work approach that combines theoretical discussions, hands-on practical exercises, and tests, allowing students to progressively delve into control theory concepts. The study’s results demonstrate a statistical significance positive correlation between students’ performance in practical exercises and test outcomes. By providing a comprehensive framework for teaching control theory in a practical and engaging manner, this research contributes to bridging the gap in control theory education for students from diverse backgrounds.